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GWAS Combined with WGCNA of Transcriptome and Metabolome to Excavate Key Candidate Genes for Rice Anaerobic Germination
Direct seeding of rice is a lightweight and simple cultivation method, which can effectively promote rice production. Anaerobic germination tolerance is one of the main traits of rice adaptability to direct seeding. The mining of related genetic loci, analysis of anaerobic traits and screening of to...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618154/ https://www.ncbi.nlm.nih.gov/pubmed/37907655 http://dx.doi.org/10.1186/s12284-023-00667-8 |
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author | Li, Dandan Liu, Kai Zhao, Chuanchao Liang, Siyi Yang, Jing Peng, Ziai Xia, Aoyun Yang, Meng Luo, Lixin Huang, Cuihong Wang, Jiafeng Huang, Ming Xiao, Wuming Wang, Hui Su, Ling Guo, Tao |
author_facet | Li, Dandan Liu, Kai Zhao, Chuanchao Liang, Siyi Yang, Jing Peng, Ziai Xia, Aoyun Yang, Meng Luo, Lixin Huang, Cuihong Wang, Jiafeng Huang, Ming Xiao, Wuming Wang, Hui Su, Ling Guo, Tao |
author_sort | Li, Dandan |
collection | PubMed |
description | Direct seeding of rice is a lightweight and simple cultivation method, which can effectively promote rice production. Anaerobic germination tolerance is one of the main traits of rice adaptability to direct seeding. The mining of related genetic loci, analysis of anaerobic traits and screening of tolerance genes provided valuable genetic resources for improving the anaerobic germination ability of direct seeding rice. This study conducted a dynamic genome-wide association study (GWAS) based on coleoptile-related traits of 591 rice natural populations, and a total of 317 SNP sites were detected. Integrated dynamic widely targeted metabolomics analysis, we found that xanthine, l-alanine and GABA may be key biomarkers that are sensitive and respond strongly to hypoxic stress perception. By WGCNA analysis of targeted metabolomics and transcriptomics, a total of 3 modules were obtained that were significantly correlated with the above three marker metabolites, namely dark green, dark gray and light green modules, respectively, and several key structural genes of OsAlaAT1, OsGAD4, OsAAH and Os09g0424600 that may affect hypoxic germination were screened from the 3 modules. Among them, OsAlaAT1 (Os10g0390500), located in Chr10-12877840, which is within the GWAS location range of CVAN3d, is considered to be a more reliable candidate gene. Overall, in addition to providing new insight into the metabolic regulation of l-alanine, GABA and xanthine during hypoxic germination of rice. This study also provided a reference for the basic theoretical research and breeding application research on the related traits of anaerobic germination in direct-seeding rice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12284-023-00667-8. |
format | Online Article Text |
id | pubmed-10618154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-106181542023-11-02 GWAS Combined with WGCNA of Transcriptome and Metabolome to Excavate Key Candidate Genes for Rice Anaerobic Germination Li, Dandan Liu, Kai Zhao, Chuanchao Liang, Siyi Yang, Jing Peng, Ziai Xia, Aoyun Yang, Meng Luo, Lixin Huang, Cuihong Wang, Jiafeng Huang, Ming Xiao, Wuming Wang, Hui Su, Ling Guo, Tao Rice (N Y) Research Direct seeding of rice is a lightweight and simple cultivation method, which can effectively promote rice production. Anaerobic germination tolerance is one of the main traits of rice adaptability to direct seeding. The mining of related genetic loci, analysis of anaerobic traits and screening of tolerance genes provided valuable genetic resources for improving the anaerobic germination ability of direct seeding rice. This study conducted a dynamic genome-wide association study (GWAS) based on coleoptile-related traits of 591 rice natural populations, and a total of 317 SNP sites were detected. Integrated dynamic widely targeted metabolomics analysis, we found that xanthine, l-alanine and GABA may be key biomarkers that are sensitive and respond strongly to hypoxic stress perception. By WGCNA analysis of targeted metabolomics and transcriptomics, a total of 3 modules were obtained that were significantly correlated with the above three marker metabolites, namely dark green, dark gray and light green modules, respectively, and several key structural genes of OsAlaAT1, OsGAD4, OsAAH and Os09g0424600 that may affect hypoxic germination were screened from the 3 modules. Among them, OsAlaAT1 (Os10g0390500), located in Chr10-12877840, which is within the GWAS location range of CVAN3d, is considered to be a more reliable candidate gene. Overall, in addition to providing new insight into the metabolic regulation of l-alanine, GABA and xanthine during hypoxic germination of rice. This study also provided a reference for the basic theoretical research and breeding application research on the related traits of anaerobic germination in direct-seeding rice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12284-023-00667-8. Springer US 2023-10-31 /pmc/articles/PMC10618154/ /pubmed/37907655 http://dx.doi.org/10.1186/s12284-023-00667-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Li, Dandan Liu, Kai Zhao, Chuanchao Liang, Siyi Yang, Jing Peng, Ziai Xia, Aoyun Yang, Meng Luo, Lixin Huang, Cuihong Wang, Jiafeng Huang, Ming Xiao, Wuming Wang, Hui Su, Ling Guo, Tao GWAS Combined with WGCNA of Transcriptome and Metabolome to Excavate Key Candidate Genes for Rice Anaerobic Germination |
title | GWAS Combined with WGCNA of Transcriptome and Metabolome to Excavate Key Candidate Genes for Rice Anaerobic Germination |
title_full | GWAS Combined with WGCNA of Transcriptome and Metabolome to Excavate Key Candidate Genes for Rice Anaerobic Germination |
title_fullStr | GWAS Combined with WGCNA of Transcriptome and Metabolome to Excavate Key Candidate Genes for Rice Anaerobic Germination |
title_full_unstemmed | GWAS Combined with WGCNA of Transcriptome and Metabolome to Excavate Key Candidate Genes for Rice Anaerobic Germination |
title_short | GWAS Combined with WGCNA of Transcriptome and Metabolome to Excavate Key Candidate Genes for Rice Anaerobic Germination |
title_sort | gwas combined with wgcna of transcriptome and metabolome to excavate key candidate genes for rice anaerobic germination |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618154/ https://www.ncbi.nlm.nih.gov/pubmed/37907655 http://dx.doi.org/10.1186/s12284-023-00667-8 |
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